The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11694477 B1

Date of Patent:

Jul. 04, 2023

Filed:

Aug. 10, 2022

Efficient distributed trainer with gradient accumulation on sampled weight for deep neural networks in facial recognition

Applicant:

Clearview Ai, Inc., New York, NY (US);

Inventor:

Zhi Liu, New York, NY (US);

Assignee:

Clearview AI, Inc., New York, NY (US);

Attorney:

Fox Rothschild LLP

Primary Examiner:

Wesley J Tucker

Int. Cl.

CPC ...

G06V 40/16 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/74 (2022.01); G06V 10/762 (2022.01);

U.S. Cl.

CPC ...

G06V 40/172 (2022.01); G06V 10/761 (2022.01); G06V 10/762 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);

Abstract

This disclosure provides a highly scalable training data preparation pipeline for data cleaning and augmentation with the aim of extracting the most meaningful information while keeping the noise level low, as well as a highly efficient distributed trainer for the deep neural networks suitable for facial recognition. The goal is to train deeper and larger neural networks with larger and higher quality facial image datasets iteratively and frequently without incurring prohibitive costs and drastic delays.

Find Patent Forward Citations

Liu, Zhi. (2023). Efficient distributed trainer with gradient accumulation on sampled weight for deep neural networks in facial recognition (U.S. Patent No. 11694477). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11694477

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